Historical data access for the stock-analysis Backtesting pillar. Query the Rebyte Financial Data Service through the Relay Data API with read-only SQL, plus semantic search over historical news when needed for data exploration.
The single financial skill: stock and company analysis plus strategy backtesting, on the Rebyte financial data lake (US equities + China A-shares). Covers price history, technical analysis, company research, news, fundamentals, dividends/splits, insider trading via SEC EDGAR, multi-stock comparison, and NautilusTrader backtesting with a first-class result bundle. Use when the user mentions stock tickers, stock prices, company analysis, investment research, financial data, or wants to backtest a strategy. Triggers: stock symbol (AAPL, TSLA, 000001.SZ), 'stock price', 'analyze stock', 'compare stocks', 'company financials', 'insider trading', 'SEC filing', 'is X a good buy', 'price history', 'backtest', '回测'. Do NOT use for full-blown multi-source research reports (use financial-deep-research instead).
Stock-analysis Backtesting pillar. Run realistic event-driven backtests with NautilusTrader, including historical data acquisition through data/SKILL.md and execution/reporting. Use for strategy simulation, signal evaluation, Sharpe/drawdown/returns, in-sample vs out-of-sample, walk-forward, or parameter comparison. Do NOT use for live trading; the data lake is historical (T+1) only.
Template-only financial analysis workflows for statement analysis, valuation analysis, company research, industry research, and finance-specific output patterns. Use when the user asks for a financial analysis structure, report outline, model rubric, or reusable instructions rather than live data retrieval.
Render TradingView-style interactive price charts (candlesticks, indicator overlays, trade markers, volume/RSI/MACD panes) from OHLCV data using TradingView's open-source Lightweight Charts. Use for any price/market chart - "K线图", "candlestick chart", "price chart", "backtest chart", "plot the strategy", "chart AAPL", "TradingView-style chart", "show entries and exits on the chart". Do NOT use for non-price visualizations (heatmaps, pie, treemaps) - use the echarts skill for those.
Generate music from text (and optionally a reference image) using Google Lyria 3 via Rebyte data API. Two models — `lyria-3` for fast 30-second clips, `lyria-3-pro` for full songs up to ~3 minutes with structural awareness (intro/verse/chorus/bridge). 44.1 kHz stereo MP3 or WAV. Pass an `image` to condition mood/genre on a visual. Use for soundtracks, jingles, intro/outro music, ambient beds, podcast theme music, image-to-music, or any text-to-music task. Triggers include "generate music", "create a song", "make a soundtrack", "compose music", "background music", "jingle", "theme song", "music from prompt", "text to music", "image to music", "music from image", "AI music".
Generate images from text prompts or edit existing images via Rebyte data API. Two backends selectable via the `provider` field — `gemini` (default, Nano Banana 2 / Gemini 3.1 Flash) or `gpt` (OpenAI gpt-image-2). Gemini is best for multi-aspect-ratio output (512px–4K) and fast multi-image edits; gpt-image-2 is best for high-fidelity photorealism and precise text rendering. Supports text-to-image and image-to-image on both. Triggers include "generate image", "create image", "make a picture", "draw", "illustrate", "image of", "picture of", "edit image", "modify image", "enhance image", "style transfer", "nano banana", "gpt image".
Generate stylized presentation slide images using Nano Banana AI. Converts article content to ASCII framework then generates AI images for each slide. Triggers include "nanoppt", "stylized slides", "AI slide images", "presentation images", "Doraemon style slides", "anime presentation". Do NOT use for regular presentations (use slide instead).